Assistant Professor | School of Information Science
Only 5 weeks left! 4 groups have been approved by IRB
Goal is to launch survey as soon as possible (workshop tonight will demonstrate steps)
We will work with as many people as we can get!
Group should be working on front end (literature review, hypotheses, methods)
Variable Relationships!
Already Covered:
What is the difference between a One-way ANOVA and a Factorial ANOVA?
The analysis revealed significant main effects of controlling language, F(1, 301) = 16.16, p < .001, η2 = .05, and fairness, F(1,301) = 41.66, p < .001, η2 = .12, as well as a significant interaction, F(1, 301) = 7.41, p < .01,η2 = .02.
The analysis revealed significant main effects of controlling language, F(1, 301) = 8.60, p < .01, η2 = .03, and fairness, F(1, 301) = 104.26,p < .001, η2 = .26, as well as a significant interaction, F(1, 301) = 11.91, p < .001, η2 = .04.
The analysis revealed a significant main effect of controlling language, F(1, 301) = 8.03, p < .01, η2 = .03, and a marginally significant interaction, F(1, 301) = 3.22, p = .07, η2 = .01; the fairness main effect was not significant, F(1, 301) = 1.01, p = .32, η2 = .00.
21: Analysis and Interpretation of Basic Associational Research Questions
22: Analysis and Interpretation of Complex Associational Questions
Chapter 21 (p. 369-385) covers:
An index of the strength of the linear relationship between two variables
Teven, J.J. (2007). Teacher temperament: Correlates with teacher caring, burnout, and organizational outcomes. Communication Education, 56, 382-400.
Usher, E. L. (2007). Tracing the origins of confidence: A mixed methods exploration of the sources of self-efficacy beliefs in mathematics (Unpublished doctoral dissertation). Emory University, Atlanta, GA.
In linear regression, the regression coefficient represents the amount of change in the dependent variable for one-unit change in the independent variable.
Also known as Pearson’s Product Moment or Pearson’s r
Assess relationship between two continuous variables
Variable 1: Total Perceived Stress (tpstress)
Variable 2: Total Perceived Control of Internal States (tpcoiss)
The nonparametric* alternative is Spearman’s rho
*Inferential statistics that are used when the data do not meet the assumption of normality.
Cohen (1988, pp. 79-81)
A measure of the relationship between the independent variable and the criterion variable, keeping the other independent variables constant.
TL;DR: It has a control.
Variable 1: Total Perceived Stress (tpstress)
Variable 2: Total Perceived Control of Internal States (tpcoiss)
Control: Total Social Desirability (tmarlow)
Cohen (1988, pp. 79-81)
Includes several continuous and/or dichotomous IVs and one continuous DV
H1: How well do the two measures of control (mastery, PCOISS) predict perceived stress?
H2: Which is the best predictor of perceived stess: control of external events (mastery scale) or control of internal states (PCOISS)?
For every 1 unit increase in mastery, perceived stress decreases by -.63 points
For every 1 standard deviation increase in mastery, perceived stress decreases by -.42 standard deviation.
A categorical outcome variable is something that is predicted to happen or not. Based largely in probability, as the outcome is dichotomous.
Variables are entered in steps, and the CHANGE in R2 is examined at each
The order is decided ahead of time
Are there things that need to be controlled? Enter these first!
The computer instead of the researcher decides the order and how many of the predictors are used.
Describes how much more each IV has contributed to the prediction from the predictors already used.
For Qualtrics:
After SONA generates your unique URL, you must add this back to Qualtrics so that participants are redirected.
Add Scott Johnson (scott.johnson@uky.edu) as a collaborator.
He is the resident Qualtrics guru and keeper of the SONA.